Manju

Greetings When learning new technology, installation is the first burden and it is irritating. However, in modern-day development, we developers usually don't have to bother too much with operations and there are dedicated teams assigned for that purpose. Let's see how we can get started with Elasticsearch. For someone who starts exploring Elasticsearch, there are two main options. Cloud free trial Docker container Cloud free trial This is the easiest way for someone new to Elasticsearch. You just register for the free trial without a credit card. The only drawback is it expires in 14 days. But that is enough for initial experience. If you know how to use emails with plus at the end, you can have endless accounts. https://www.elastic.co/cloud/elasticsearch-service/signup Docker container The other option is to spin up a Docker container. That is also an easy option. However, you need to know just enough Docker to use it. With Elasticsearch 8 security is enabled by d

Greetings! When I started writing lambda and serverless, I wanted to design a real-world project. The example that was in mind was a geolocation extractor using an image upload that my friend did. I thought to tweak it to an Excel file upload with another example that is based on real-world e-commerce requirements. What I want to focus on here is the architecture. Seasonal offers Offers are common in any business. Now the marketing team decides that having a separate section to indicate seasonal offers with additional descriptions would increase the orders. As they are experts in excel they say hey Devs, we don't want a UI for us. We will give you an excel to make your lives easier. Requirement Design a restful API to expose seasonal offers that are coming as an excel sheet. Technical breakdown We can store the excel in our code and directly read it. But that is not an expandable solution. Hence we store the file in an S3 bucket and separate out the extraction logic. Architecture